(V). Loss function: Loss functions are used in the output layer to compute the predicted error created during training samples in CNN. This error is the difference between the actual output and the predicted values. Some of the loss functions used in neural network are Mean Squared Error (MSE), Cross-Entropy or Softmax loss function, Euclidean loss function and Hinge loss function[1]}.
